You can use Tez, instead of MapReduce, for generic data processing tasks. Tez significantly increases the processing speed.
Tez, working with Hive, provides smaller latency for interactive queries and higher throughput for batch queries.

Before you start developing applications on MapR’s Converged Data Platform, consider how you will get the data onto the
platform, the format it will be stored in, the type of processing or modeling that is required, and how the data will
be accessed.

A MapR Expansion Pack (MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions.
Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version
of Spark is supported in a MEP.

You can use Tez, instead of MapReduce, for generic data processing tasks. Tez significantly increases the processing speed.
Tez, working with Hive, provides smaller latency for interactive queries and higher throughput for batch queries.

Starting with MapR Expansion Pack (MEP) 6.0.0, MapR Object Store with S3-Compatible API (MapR Object Store) is included in MEP repositories. To fully benefit from the MapR Object Store, it is important to understand what the
MapR Object Store is and how it works, how to authenticate it and perform bucket operations.

Note: To be able to obtain job progress and work with Hive on Tez UI for non-mapr
users on secure clusters (since yarn.admin.acl is enabled and allows nobody due to security),
modify yarn-site.xml in the following way: